Computational Data Science Lab
Department of Computer and Information Sciences
University of Delaware
We are the Computational Data Science lab at the University of Delaware. We are working on developing algorithmic and machine learning solutions towards effective and efficient decision makings in various systems, such as computational social networks, real-time embedded systems, and autonomous systems. We are particularly interested in theoretically-grounded methods with performance guarantees concerning approximation ratio, time and space complexity, learnability and generalization bounds, and other quantitative metrics that are context-dependent.
Recent News
☸ [Pin][Hiring] 2025-2026: We are looking for excellent candidates for Ph.D. positions in the Department of Computer and Information Sciences at the University of Delaware. Please see [HERE].
♦ Research areas: algorithms and combinatorial optimization, statistical learning, and AI for complex reasoning.
♦ Note: We are particularly looking for students with math/stats degrees.
☸ Jie joined our lab as a Ph.D. Student. Welcome!
☸ Sihan joined our lab as a Ph.D. Student. Welcome!
☸ Paper DAGP: Difficulty-Aware Graph Pruning for LLM-Based Multi-Agent System accepted by CIKM 2025. Congrats to Siqi!
☸ Samuel will join us in the summer for NASA Space Grant Summer Internship. Welcome!
☸ Yifan received 2025 Lauri Pfeffer Shinn Memorial Award. Congrats!
☸ Hypergraph Neural Networks? Paper Generalization Performance of Hypergraph Neural Networks accepted by The Web Conference (WWW) 2025 as oral presentation. Congrats to Yifan!
